DraganA stable algorithm for GAN training
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A Pytorch Tutorial To Super ResolutionPhoto-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
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Stylegan.pytorchA PyTorch implementation for StyleGAN with full features.
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Image generatorDCGAN image generator 🖼️.
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ShapeganGenerative Adversarial Networks and Autoencoders for 3D Shapes
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Anime Face Gan KerasA DCGAN to generate anime faces using custom mined dataset
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Tsit[ECCV 2020 Spotlight] A Simple and Versatile Framework for Image-to-Image Translation
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GannotationGANnotation (PyTorch): Landmark-guided face to face synthesis using GANs (And a triple consistency loss!)
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Accel Brain CodeThe purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.
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Tensorflow Infogan🎎 InfoGAN: Interpretable Representation Learning
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Gan2shapeCode for GAN2Shape (ICLR2021 oral)
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P2palaPage to PAGE Layout Analysis Tool
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Anogan KerasUnsupervised anomaly detection with generative model, keras implementation
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FrontalizationPytorch deep learning face frontalization model
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Nice Gan PytorchOfficial PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
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Focal Frequency LossFocal Frequency Loss for Generative Models
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Tensorflow Mnist Gan DcganTensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.
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FaceganTF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model
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